Overview

Dataset statistics

Number of variables34
Number of observations742
Missing cells39
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory197.2 KiB
Average record size in memory272.2 B

Variable types

NUM16
CAT16
BOOL2

Warnings

TempDist has constant value "742" Constant
SpatDist has constant value "742" Constant
TempGL has constant value "742" Constant
SpatGL has constant value "742" Constant
SpatIL is highly correlated with TempILHigh correlation
TempIL is highly correlated with SpatILHigh correlation
Lich2 is highly correlated with Lich1High correlation
Lich1 is highly correlated with Lich2High correlation
Fstf has 39 (5.3%) missing values Missing
df_index has unique values Unique
UArt1 has 28 (3.8%) zeros Zeros
AUrs1 has 702 (94.6%) zeros Zeros

Reproduction

Analysis started2020-11-13 16:47:32.699047
Analysis finished2020-11-13 16:48:54.423067
Duration1 minute and 21.72 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct742
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean947.8247978
Minimum0
Maximum1864
Zeros1
Zeros (%)0.1%
Memory size5.8 KiB
2020-11-13T17:48:54.777938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile95.1
Q1495.75
median968
Q31392.75
95-th percentile1753.9
Maximum1864
Range1864
Interquartile range (IQR)897

Descriptive statistics

Standard deviation529.9991995
Coefficient of variation (CV)0.5591742279
Kurtosis-1.143303393
Mean947.8247978
Median Absolute Deviation (MAD)441
Skewness-0.08112040702
Sum703286
Variance280899.1514
MonotocityStrictly increasing
2020-11-13T17:48:54.930040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
102310.1%
 
134410.1%
 
33110.1%
 
33010.1%
 
135310.1%
 
144210.1%
 
168410.1%
 
32510.1%
 
32410.1%
 
32310.1%
 
Other values (732)73298.7%
 
ValueCountFrequency (%) 
010.1%
 
210.1%
 
410.1%
 
510.1%
 
610.1%
 
ValueCountFrequency (%) 
186410.1%
 
185910.1%
 
185810.1%
 
185410.1%
 
185210.1%
 

TempMax
Real number (ℝ≥0)

Distinct196
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.7951482
Minimum9
Maximum1341
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:48:55.081988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile39.15
Q1105
median184.5
Q3314.25
95-th percentile644.55
Maximum1341
Range1332
Interquartile range (IQR)209.25

Descriptive statistics

Standard deviation198.4465679
Coefficient of variation (CV)0.8207218768
Kurtosis5.613303358
Mean241.7951482
Median Absolute Deviation (MAD)97.5
Skewness1.963417896
Sum179412
Variance39381.0403
MonotocityNot monotonic
2020-11-13T17:48:55.235099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
78152.0%
 
129131.8%
 
162111.5%
 
135111.5%
 
264101.3%
 
87101.3%
 
99101.3%
 
138101.3%
 
11791.2%
 
8491.2%
 
Other values (186)63485.4%
 
ValueCountFrequency (%) 
910.1%
 
1510.1%
 
1850.7%
 
2140.5%
 
2410.1%
 
ValueCountFrequency (%) 
134110.1%
 
132320.3%
 
125710.1%
 
119410.1%
 
102910.1%
 

TempAvg
Real number (ℝ≥0)

Distinct211
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.82749326
Minimum3
Maximum1326
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:48:55.389604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q140
median69
Q3105
95-th percentile235
Maximum1326
Range1323
Interquartile range (IQR)65

Descriptive statistics

Standard deviation92.49723284
Coefficient of variation (CV)1.02972074
Kurtosis55.3143073
Mean89.82749326
Median Absolute Deviation (MAD)32
Skewness5.505031911
Sum66652
Variance8555.738083
MonotocityNot monotonic
2020-11-13T17:48:55.535434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
44172.3%
 
53141.9%
 
89131.8%
 
26121.6%
 
23101.3%
 
61101.3%
 
52101.3%
 
76101.3%
 
5691.2%
 
3391.2%
 
Other values (201)62884.6%
 
ValueCountFrequency (%) 
310.1%
 
410.1%
 
520.3%
 
630.4%
 
730.4%
 
ValueCountFrequency (%) 
132610.1%
 
92010.1%
 
70310.1%
 
57510.1%
 
53310.1%
 

SpatMax
Real number (ℝ≥0)

Distinct636
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14436.72507
Minimum1036
Maximum49765
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:48:55.692965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1036
5-th percentile2756.35
Q16740.25
median11946
Q319746
95-th percentile35682.8
Maximum49765
Range48729
Interquartile range (IQR)13005.75

Descriptive statistics

Standard deviation10112.77083
Coefficient of variation (CV)0.7004892581
Kurtosis0.7358993194
Mean14436.72507
Median Absolute Deviation (MAD)5875.5
Skewness1.116393105
Sum10712050
Variance102268133.9
MonotocityNot monotonic
2020-11-13T17:48:55.843738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1316381.1%
 
662140.5%
 
235140.5%
 
602540.5%
 
1838130.4%
 
815930.4%
 
3045830.4%
 
957430.4%
 
2046930.4%
 
2077730.4%
 
Other values (626)70494.9%
 
ValueCountFrequency (%) 
103610.1%
 
117610.1%
 
120620.3%
 
131510.1%
 
141510.1%
 
ValueCountFrequency (%) 
4976510.1%
 
4827810.1%
 
4632810.1%
 
4607810.1%
 
4513010.1%
 

SpatAvg
Real number (ℝ≥0)

Distinct642
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4318.908356
Minimum358
Maximum17805
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:48:55.995815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum358
5-th percentile1154.15
Q12346.5
median3813.5
Q35877
95-th percentile8890
Maximum17805
Range17447
Interquartile range (IQR)3530.5

Descriptive statistics

Standard deviation2608.155253
Coefficient of variation (CV)0.6038922427
Kurtosis1.83631456
Mean4318.908356
Median Absolute Deviation (MAD)1738
Skewness1.143512913
Sum3204630
Variance6802473.824
MonotocityNot monotonic
2020-11-13T17:48:56.147260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
560650.7%
 
709430.4%
 
657530.4%
 
442330.4%
 
889030.4%
 
296130.4%
 
352030.4%
 
437930.4%
 
381730.4%
 
793330.4%
 
Other values (632)71095.7%
 
ValueCountFrequency (%) 
35810.1%
 
39310.1%
 
54410.1%
 
64310.1%
 
66010.1%
 
ValueCountFrequency (%) 
1780510.1%
 
1513210.1%
 
1478510.1%
 
1419810.1%
 
1374410.1%
 

TempDist
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
742 
ValueCountFrequency (%) 
0742100.0%
 
2020-11-13T17:48:56.253682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

SpatDist
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
742 
ValueCountFrequency (%) 
0742100.0%
 
2020-11-13T17:48:59.138066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Coverage
Real number (ℝ≥0)

Distinct79
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.74932615
Minimum6
Maximum100
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:48:59.227445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile12
Q121
median31
Q345
95-th percentile69
Maximum100
Range94
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.63551252
Coefficient of variation (CV)0.5075066045
Kurtosis0.5640671283
Mean34.74932615
Median Absolute Deviation (MAD)11
Skewness0.8803655126
Sum25784
Variance311.0113018
MonotocityNot monotonic
2020-11-13T17:48:59.528418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
30273.6%
 
18263.5%
 
25223.0%
 
21212.8%
 
16212.8%
 
28202.7%
 
31202.7%
 
35202.7%
 
40202.7%
 
23192.6%
 
Other values (69)52670.9%
 
ValueCountFrequency (%) 
620.3%
 
730.4%
 
820.3%
 
950.7%
 
10162.2%
 
ValueCountFrequency (%) 
10030.4%
 
8820.3%
 
8710.1%
 
8620.3%
 
8510.1%
 

TempGL
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
3
742 
ValueCountFrequency (%) 
3742100.0%
 
2020-11-13T17:49:06.221660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:49:14.670977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:49:14.737198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SpatGL
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2
742 
ValueCountFrequency (%) 
2742100.0%
 
2020-11-13T17:49:14.852366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:49:14.927081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:49:15.004407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

TempIL
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
3
424 
4
195 
5
122 
2
 
1
ValueCountFrequency (%) 
342457.1%
 
419526.3%
 
512216.4%
 
210.1%
 
2020-11-13T17:49:15.116955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.1%
2020-11-13T17:49:15.196362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:49:29.379625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

SpatIL
Real number (ℝ≥0)

HIGH CORRELATION

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.192722372
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:49:29.485521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.167162436
Coefficient of variation (CV)0.3655696613
Kurtosis-1.152536218
Mean3.192722372
Median Absolute Deviation (MAD)1
Skewness0.09537255827
Sum2369
Variance1.362268152
MonotocityNot monotonic
2020-11-13T17:49:29.599024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
223832.1%
 
419526.3%
 
315821.3%
 
512216.4%
 
1293.9%
 
ValueCountFrequency (%) 
1293.9%
 
223832.1%
 
315821.3%
 
419526.3%
 
512216.4%
 
ValueCountFrequency (%) 
512216.4%
 
419526.3%
 
315821.3%
 
223832.1%
 
1293.9%
 

TLCar
Real number (ℝ≥0)

Distinct502
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1519.262803
Minimum1000
Maximum1999
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:49:29.734195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1065.35
Q11279.25
median1518
Q31776
95-th percentile1953.95
Maximum1999
Range999
Interquartile range (IQR)496.75

Descriptive statistics

Standard deviation288.025972
Coefficient of variation (CV)0.1895827182
Kurtosis-1.227579503
Mean1519.262803
Median Absolute Deviation (MAD)255
Skewness-0.03608631936
Sum1127293
Variance82958.96053
MonotocityNot monotonic
2020-11-13T17:49:29.878588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
140360.8%
 
185150.7%
 
195550.7%
 
129350.7%
 
155750.7%
 
188150.7%
 
117940.5%
 
136340.5%
 
160840.5%
 
133440.5%
 
Other values (492)69593.7%
 
ValueCountFrequency (%) 
100010.1%
 
100110.1%
 
100310.1%
 
100810.1%
 
101410.1%
 
ValueCountFrequency (%) 
199910.1%
 
199820.3%
 
199610.1%
 
199210.1%
 
199110.1%
 

TLHGV
Real number (ℝ≥0)

Distinct365
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean741.8072776
Minimum501
Maximum999
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:49:30.020261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum501
5-th percentile527
Q1616.25
median738.5
Q3868.75
95-th percentile967.95
Maximum999
Range498
Interquartile range (IQR)252.5

Descriptive statistics

Standard deviation144.3289533
Coefficient of variation (CV)0.1945639489
Kurtosis-1.242161205
Mean741.8072776
Median Absolute Deviation (MAD)124.5
Skewness0.05898800862
Sum550421
Variance20830.84675
MonotocityNot monotonic
2020-11-13T17:49:30.171744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
92681.1%
 
62670.9%
 
52260.8%
 
69860.8%
 
84360.8%
 
55450.7%
 
63050.7%
 
61950.7%
 
61450.7%
 
88150.7%
 
Other values (355)68492.2%
 
ValueCountFrequency (%) 
50140.5%
 
50230.4%
 
50620.3%
 
50710.1%
 
50810.1%
 
ValueCountFrequency (%) 
99920.3%
 
99830.4%
 
99710.1%
 
99510.1%
 
99410.1%
 

Strasse
Categorical

Distinct14
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
A3
265 
A9
192 
A99
63 
A73
52 
A96
41 
Other values (9)
129 
ValueCountFrequency (%) 
A326535.7%
 
A919225.9%
 
A99638.5%
 
A73527.0%
 
A96415.5%
 
A6375.0%
 
A7354.7%
 
A92212.8%
 
A94141.9%
 
A93121.6%
 
Other values (4)101.3%
 
2020-11-13T17:49:30.309646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)0.4%
2020-11-13T17:49:30.430160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length2
Mean length2.289757412
Min length2

Kat
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
7
368 
3
317 
2
51 
1
 
6
ValueCountFrequency (%) 
736849.6%
 
331742.7%
 
2516.9%
 
160.8%
 
2020-11-13T17:49:30.569722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:49:30.663006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:49:36.340521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

Typ
Real number (ℝ≥0)

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.281671159
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:49:36.434424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median6
Q36
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.637173895
Coefficient of variation (CV)0.3099727049
Kurtosis1.656559485
Mean5.281671159
Median Absolute Deviation (MAD)0
Skewness-1.764448444
Sum3919
Variance2.680338364
MonotocityNot monotonic
2020-11-13T17:49:36.530721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
656576.1%
 
37610.2%
 
1668.9%
 
7304.0%
 
550.7%
 
ValueCountFrequency (%) 
1668.9%
 
37610.2%
 
550.7%
 
656576.1%
 
7304.0%
 
ValueCountFrequency (%) 
7304.0%
 
656576.1%
 
550.7%
 
37610.2%
 
1668.9%
 

Betei
Real number (ℝ≥0)

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.254716981
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:49:36.629399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7446239988
Coefficient of variation (CV)0.330251648
Kurtosis11.87966685
Mean2.254716981
Median Absolute Deviation (MAD)0
Skewness2.441016326
Sum1673
Variance0.5544648995
MonotocityNot monotonic
2020-11-13T17:49:36.724966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
253071.4%
 
312717.1%
 
1425.7%
 
4334.4%
 
560.8%
 
820.3%
 
620.3%
 
ValueCountFrequency (%) 
1425.7%
 
253071.4%
 
312717.1%
 
4334.4%
 
560.8%
 
ValueCountFrequency (%) 
820.3%
 
620.3%
 
560.8%
 
4334.4%
 
312717.1%
 

UArt1
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.866576819
Minimum0
Maximum9
Zeros28
Zeros (%)3.8%
Memory size5.8 KiB
2020-11-13T17:49:36.970568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.870212234
Coefficient of variation (CV)0.6524200646
Kurtosis3.128576504
Mean2.866576819
Median Absolute Deviation (MAD)1
Skewness1.779465991
Sum2127
Variance3.497693799
MonotocityNot monotonic
2020-11-13T17:49:37.071267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
235247.4%
 
319926.8%
 
5638.5%
 
1435.8%
 
8283.8%
 
0283.8%
 
9212.8%
 
770.9%
 
610.1%
 
ValueCountFrequency (%) 
0283.8%
 
1435.8%
 
235247.4%
 
319926.8%
 
5638.5%
 
ValueCountFrequency (%) 
9212.8%
 
8283.8%
 
770.9%
 
610.1%
 
5638.5%
 

UArt2
Real number (ℝ)

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3032345013
Minimum-1
Maximum9
Zeros4
Zeros (%)0.5%
Memory size5.8 KiB
2020-11-13T17:49:37.175087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile8.95
Maximum9
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.440319285
Coefficient of variation (CV)-8.04763071
Kurtosis9.77753171
Mean-0.3032345013
Median Absolute Deviation (MAD)0
Skewness3.391204681
Sum-225
Variance5.955158215
MonotocityNot monotonic
2020-11-13T17:49:37.276196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
-167891.4%
 
9385.1%
 
8101.3%
 
381.1%
 
040.5%
 
230.4%
 
110.1%
 
ValueCountFrequency (%) 
-167891.4%
 
040.5%
 
110.1%
 
230.4%
 
381.1%
 
ValueCountFrequency (%) 
9385.1%
 
8101.3%
 
381.1%
 
230.4%
 
110.1%
 

AUrs1
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.130727763
Minimum0
Maximum89
Zeros702
Zeros (%)94.6%
Memory size5.8 KiB
2020-11-13T17:49:37.383537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile72
Maximum89
Range89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.37598508
Coefficient of variation (CV)4.206519063
Kurtosis14.24533541
Mean4.130727763
Median Absolute Deviation (MAD)0
Skewness4.006484994
Sum3065
Variance301.9248575
MonotocityNot monotonic
2020-11-13T17:49:37.479003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
070294.6%
 
73131.8%
 
72131.8%
 
8260.8%
 
8950.7%
 
8810.1%
 
8010.1%
 
7510.1%
 
ValueCountFrequency (%) 
070294.6%
 
72131.8%
 
73131.8%
 
7510.1%
 
8010.1%
 
ValueCountFrequency (%) 
8950.7%
 
8810.1%
 
8260.8%
 
8010.1%
 
7510.1%
 

AUrs2
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
740 
81
 
1
80
 
1
ValueCountFrequency (%) 
074099.7%
 
8110.1%
 
8010.1%
 
2020-11-13T17:49:37.606957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)0.3%
2020-11-13T17:49:37.698651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:49:40.653349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length1
Mean length1.002695418
Min length1

AufHi
Real number (ℝ)

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4919137466
Minimum-1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:49:40.763082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile3
Maximum8
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.385996809
Coefficient of variation (CV)-2.817560637
Kurtosis5.03303017
Mean-0.4919137466
Median Absolute Deviation (MAD)0
Skewness2.500515799
Sum-365
Variance1.920987156
MonotocityNot monotonic
2020-11-13T17:49:40.866589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
-165287.9%
 
37810.5%
 
4101.3%
 
810.1%
 
510.1%
 
ValueCountFrequency (%) 
-165287.9%
 
37810.5%
 
4101.3%
 
510.1%
 
810.1%
 
ValueCountFrequency (%) 
810.1%
 
510.1%
 
4101.3%
 
37810.5%
 
-165287.9%
 

Alkoh
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
-1
731 
1
 
11
ValueCountFrequency (%) 
-173198.5%
 
1111.5%
 
2020-11-13T17:49:40.979744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:49:41.059288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:49:44.249089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length1.985175202
Min length1

Char1
Real number (ℝ)

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6495956873
Minimum-1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size5.8 KiB
2020-11-13T17:49:44.350445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile4
Maximum6
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.390586668
Coefficient of variation (CV)-2.140695659
Kurtosis13.22944627
Mean-0.6495956873
Median Absolute Deviation (MAD)0
Skewness3.843509899
Sum-482
Variance1.93373128
MonotocityNot monotonic
2020-11-13T17:49:44.448958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
-169693.8%
 
5182.4%
 
4141.9%
 
6101.3%
 
240.5%
 
ValueCountFrequency (%) 
-169693.8%
 
240.5%
 
4141.9%
 
5182.4%
 
6101.3%
 
ValueCountFrequency (%) 
6101.3%
 
5182.4%
 
4141.9%
 
240.5%
 
-169693.8%
 

Char2
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
-1
735 
6
 
7
ValueCountFrequency (%) 
-173599.1%
 
670.9%
 
2020-11-13T17:49:44.575290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:49:44.656018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:49:47.501266image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length1.990566038
Min length1

Lich1
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
625 
2
83 
1
 
34
ValueCountFrequency (%) 
062584.2%
 
28311.2%
 
1344.6%
 
2020-11-13T17:49:47.626668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:49:47.710961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:49:53.353139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

Lich2
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
-1
625 
4
109 
3
 
8
ValueCountFrequency (%) 
-162584.2%
 
410914.7%
 
381.1%
 
2020-11-13T17:49:53.472548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:49:53.556590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:49:56.479236image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length1.842318059
Min length1

Zust1
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
606 
1
123 
2
 
12
-1
 
1
ValueCountFrequency (%) 
060681.7%
 
112316.6%
 
2121.6%
 
-110.1%
 
2020-11-13T17:49:56.601525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.1%
2020-11-13T17:49:56.686024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:50:02.416339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length1
Mean length1.001347709
Min length1

Zust2
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
-1
735 
2
 
7
ValueCountFrequency (%) 
-173599.1%
 
270.9%
 
2020-11-13T17:50:02.537268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:50:02.632571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:50:02.710819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length1.990566038
Min length1

Fstf
Categorical

MISSING

Distinct7
Distinct (%)1.0%
Missing39
Missing (%)5.3%
Memory size5.8 KiB
2
355 
1
208 
3
118 
4
 
14
S
 
4
Other values (2)
 
4
ValueCountFrequency (%) 
235547.8%
 
120828.0%
 
311815.9%
 
4141.9%
 
S40.5%
 
520.3%
 
F20.3%
 
(Missing)395.3%
 
2020-11-13T17:50:02.981187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:50:03.081175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:50:14.511083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.105121294
Min length1

WoTag
Categorical

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Fr
142 
Do
129 
Mi
124 
Di
115 
Mo
89 
Other values (3)
143 
ValueCountFrequency (%) 
Fr14219.1%
 
Do12917.4%
 
Mi12416.7%
 
Di11515.5%
 
Mo8912.0%
 
So739.8%
 
Sa658.8%
 
50.7%
 
2020-11-13T17:50:14.649580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:50:14.747162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:50:33.511044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length1.986522911
Min length0

FeiTag
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
-1
728 
1
 
14
ValueCountFrequency (%) 
-172898.1%
 
1141.9%
 
2020-11-13T17:50:33.684330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:50:33.783487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:50:40.451479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length1.981132075
Min length1

Month
Categorical

Distinct12
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Jul
112 
Aug
88 
Sep
82 
Oct
64 
Apr
57 
Other values (7)
339 
ValueCountFrequency (%) 
Jul11215.1%
 
Aug8811.9%
 
Sep8211.1%
 
Oct648.6%
 
Apr577.7%
 
Jun567.5%
 
Nov567.5%
 
Mar516.9%
 
May506.7%
 
Dec496.6%
 
Other values (2)7710.4%
 
2020-11-13T17:50:40.594531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-11-13T17:50:40.761930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

Interactions

2020-11-13T17:47:38.755020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:40.284353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:41.663753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:43.154533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:44.589087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:45.866388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:47.154557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:48.423054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:49.684885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:50.951590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:52.219054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:53.472918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:54.743538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:56.013786image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:57.297751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:47:58.610743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:00.711735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:00.731194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:00.874281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:01.004344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:01.128729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:01.272429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:01.404629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:02.202702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:02.328798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:02.461736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:02.595340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:02.728997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:02.852338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:02.984273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:03.103341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:03.228331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:05.177555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:05.196906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:05.325280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:05.449114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:05.570974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:05.698018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:05.816002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:05.950792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:06.069961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:06.197530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:06.319247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:06.444098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:06.563790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:06.679453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:06.795216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:06.916992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:08.304031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:08.322624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:08.446546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:08.569702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:08.683813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:08.808534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:08.929072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:09.059192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:09.177904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:09.312787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:09.432411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:09.558387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:09.669338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:09.784522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:09.897528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:10.006326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:11.528883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:11.551465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:11.682343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:11.809122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:11.936314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:12.070081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:12.197875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:12.337055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:12.461243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:12.597090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:12.720212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:12.857001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:12.977832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:13.102165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:13.223509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:13.343695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:14.721396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:14.741028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:14.864668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:14.980404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:15.097906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:15.219051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:15.325473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:15.458699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:15.582831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:15.693200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:15.815152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:15.936860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:16.045171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:16.165876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:16.284602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:16.394276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:17.952229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:17.971681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:18.119734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:18.261815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:18.394096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:18.534874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:18.677717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:18.818579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:18.954524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:19.083538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:19.229625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:19.377524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:19.506655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:19.644418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:19.773066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:19.908585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:21.297441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:21.316214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:21.442189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:21.560663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:21.677504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:21.800311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:21.918628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:22.046105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:22.166646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:22.290264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:22.408265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:22.530800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:22.657768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:22.772412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:22.887249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:23.003311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:24.623178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:24.645044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:24.770589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:24.903171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:25.038989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:25.172825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:25.308210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:25.463259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:25.591462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:25.723176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:25.849753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:25.991235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:26.118037image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:26.243418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:26.361366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:26.471747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:27.991300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:28.011868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:28.159949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:28.293373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:28.433244image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:28.566733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:28.691968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:28.823982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:28.961058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:29.107552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:29.250073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:29.389677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:29.517739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:29.646364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:29.771893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:29.900603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:31.453846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:31.474617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:31.609072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:31.743849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:31.880431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:32.018700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:32.147585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:32.295450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:32.421897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:32.549891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:32.693704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:32.824651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:32.946828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:33.077773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:33.201911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:33.328353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:34.736686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:34.756145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:34.878543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:35.001050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:35.122774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:35.253691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:35.374790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:35.508070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:35.620212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:35.739552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:35.885386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:36.018005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:36.153760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:36.278799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:36.386731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:36.499846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.027776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.047624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.171416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.287852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.399091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.520925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.628984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.751167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.865598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:38.975498image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:39.092448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:39.215273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:39.339035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:39.451675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:39.562903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:39.675047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:41.083126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:41.101954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:41.229890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:41.352784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:41.469074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:41.592886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:41.706004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:41.832245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:41.944872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:42.058088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:42.181957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:42.317126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:42.431937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:42.545724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:42.654172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:42.764273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:44.196086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:44.355706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:44.487473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:44.610730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:44.730356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:44.861485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:44.982335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:45.118503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:45.238722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:45.364611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:45.480252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:45.600912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:45.716426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:45.834715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:45.952949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:46.069914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:47.464042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:47.483524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:47.624147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:47.756491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:47.886806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:48.019822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:48.143766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:48.285609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:48.417934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:48.546563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:48.675158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:48.808599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:48.933955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:49.057812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:49.184438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:49.319479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-11-13T17:50:42.360210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-11-13T17:50:43.871451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-11-13T17:50:45.434980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-11-13T17:50:47.034634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-11-13T17:50:47.106251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2020-11-13T17:48:51.313788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:52.997957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-13T17:48:54.382967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

df_indexTempMaxTempAvgSpatMaxSpatAvgTempDistSpatDistCoverageTempGLSpatGLTempILSpatILTLCarTLHGVStrasseKatTypBeteiUArt1UArt2AUrs1AUrs2AufHiAlkohChar1Char2Lich1Lich2Zust1Zust2FstfWoTagFeiTagMonth
0036022265684311006132311714718A32132-100-1-1-1-10-11-12Di1Jan
1216289139257212005032441293804A336529003-1-1-10-11-12Mi-1Jan
2416249207015847002832331417502A33622-100-1-1-1-10-10-1NaNMi-1Jan
35452074833057004232551044780A63632-100-11-1-10-10-11Mi-1Jan
46285117180675068002832331205643A97133-1720-1-1-1-10-1121Mi-1Jan
581385564153142004232441803985A97123-100-1-1-1-1240-11Fr-1Jan
610873225314134387001332551674752A37119-17303-1-1-10-11-13Sa-1Jan
7112419109029937007832321302634A707727-100-1-1-1-10-11-12Sa-1Jan
813189762798710911003932441247531A93123-1720-1-15-10-1121Sa-1Jan
9149920205873917001932331851713A97119-17203-1-1-10-12-13Sa-1Jan

Last rows

df_indexTempMaxTempAvgSpatMaxSpatAvgTempDistSpatDistCoverageTempGLSpatGLTempILSpatILTLCarTLHGVStrasseKatTypBeteiUArt1UArt2AUrs1AUrs2AufHiAlkohChar1Char2Lich1Lich2Zust1Zust2FstfWoTagFeiTagMonth
7321830696199239666775002732551854982A33632-100-1-1-1-1241-12Fr-1Dec
7331832729275369118020002132311782567A37623-100-1-1-1-10-11-12Sa-1Dec
7341833729275369118020002132551782567A33632-100-1-1-1-10-10-12Sa-1Dec
7351834300160156398285005232441076855A33681-100-1-1-1-10-10-12Sa-1Dec
7361835300160156398285005232551076855A33622-100-1-16-10-10-12Sa-1Dec
73718521234685193828004232441928876A93621-100-1-1-1-10-10-11Do1Dec
7381854477125380415444001432321274619A33622-100-1-1-1-1240-12Fr-1Dec
739185823752292296305002132321269784A93632-100-1-1-1-10-10-1FFr-1Dec
740185956494432447047001632321785638A731429003-1-1-10-10-12-1Dec
7411864877937883411008832331363741A923622-100-11-1-1240-12So-1Dec